This lecture covers additional properties of linear applications, focusing on symmetric and anti-symmetric matrices as vector spaces. It also explores examples of linear maps defined by matrices, linearity in analysis, and the integral properties. The lecture delves into the concepts of bases, dimensions, and the kernel and image of linear maps.